Registered user since Fri 24 Jan 2020
Currently a post-doctoral researcher at the Sugiyama Lab, National Institute of Informatics with a keen interest on Machine Learning approaches to Software Engineering. My interests lie in structured approaches to modeling source code, program synthesis, understanding defect prediction, and the testing oracle problem. I received my PhD from University College London (UCL), where I worked under the supervision of Prof Earl T. Barr on improving project health by applying Machine Learning to problems from Software Engineering.
|ESEC/FSE 2022|| Aide-mémoire: Improving a Project’s Collective Memory via Pull Request–Issue Links|
Flexeme: Untangling Commits Using Lexical Flows
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